Senior AI Product Manager

Accellor·Bengaluru·Onsite

Lead Product ManagerAIEnterprise

Experience

7–14 years

Employment

Full Time

Work mode

Onsite

Level

Lead Product Manager

Location

Bengaluru

Posted

6 days ago

About the role

We are looking for an experienced AI Product Manager who can operate at the intersection of product, technology, client engagement, and execution. This is a high-ownership, enterprise-facing role for someone who is excited by the opportunity to shape cutting-edge AI applications, work directly with international clients, and translate complex business problems into scalable AI-enabled products.

The AI Product Manager will lead the definition, shaping, and execution of enterprise AI products and features for global clients. This role requires a rare mix of product judgment, AI fluency, consulting maturity, and hands-on problem solving. You will work closely with clients, engineering teams, designers, and delivery leaders to identify opportunities, define product direction, manage expectations, and bring AI-first solutions to life.

The ideal candidate understands how to apply GenAI and agentic patterns in enterprise contexts, is comfortable navigating ambiguity, and is hands-on enough to prototype ideas, validate concepts quickly, and sharpen requirements through action. This is not a purely roadmap or coordination role. We are looking for someone who can think strategically, engage credibly with clients, and get into the detail when needed.

Key

What you'll do

Own the product definition and execution of enterprise AI applications, workflows, and features from discovery through release and adoption
Work directly with clients and internal stakeholders to identify business problems, frame opportunities, and convert them into clear product requirements and delivery plans
Shape AI-first user experiences, including copilots, assistants, agentic workflows, decision-support tools, and human-in-the-loop enterprise applications
Translate ambiguous business needs into structured product artifacts such as problem statements, user journeys, PRDs, acceptance criteria, prioritization frameworks, and release scope
Partner closely with engineering, UX, architecture, and delivery teams to ensure product intent is translated into practical, scalable solutions
Drive workshops, requirement discovery sessions, stakeholder reviews, demos, and alignment discussions with enterprise clients and senior stakeholders
Build lightweight prototypes, proof-of-concepts, and product mock flows using modern AI tools, no-code/low-code methods, vibe coding, and basic design/prototyping techniques where useful
Help define and refine AI use cases involving agents, orchestration, retrieval, workflow automation, and enterprise system integration
Maintain a sharp eye for detail across business requirements, product behavior, user experience, and delivery quality
Manage client expectations proactively by balancing ambition, technical feasibility, timelines, and delivery realities
Support value realization and account growth by identifying follow-on product opportunities, expansion areas, and innovation pathways within client accounts
Contribute to a product and delivery culture that values speed, clarity, experimentation, accountability, and customer impact

What you'll bring

7-14 years of experience in ProApplication formDesign the application form for this role.duct Management, Business Analysis, Consulting, Enterprise Software, Digital Products, or related technology roles
Demonstrated experience working on software products, platforms, or enterprise applications in client-facing environments
Good understanding of AI/ML and Generative AI concepts, with practical exposure to AI-enabled product design and delivery
Exposure to building or shaping agent-based / agentic workflows or AI-driven assistants/copilots in a product or solution context
Strong experience in requirements discovery, user story definition, prioritization, stakeholder management, and cross-functional execution
Ability to engage confidently with enterprise clients, business users, engineering teams, and senior internal stakeholders
Strong written and verbal communication skills, with the ability to simplify complexity and present with clarity
High attention to detail and the ability to manage product quality and client expectations in parallel
A hands-on mindset with the willingness to prototype, experiment, and validate ideas quickly rather than rely only on documentation
Comfort working in ambiguous, fast-evolving environments where AI capabilities, client needs, and product direction are still being shaped
Prior experience in a consulting or client advisory environment is highly desirable
Exposure to enterprise domains and business applications is preferred